what is a ridge regression?
Ridge regression is a machine learning algorithm that is used to fit a linear regression model to the data. It is similar to ordinary least squares regression, but it adds a penalty term to the loss function in order to prevent overfitting. The penalty term is a weighted sum of the absolute values \n\nIn this blog, we will learn about the Ridge Regression algorithm. Ridge Regression is a machine learning algorithm that is used to fit a linear regression model to the data. It is similar to ordinary least squares regression, but it adds a penalty term to the loss function in order to squares of the coefficients in the model. This penalty term is called the L2 regularization term, and it is added to the loss function in order to penalize coefficients with larger magnitudes. The goal of the Ridge Regression algorithm is to find the set of coefficients that minimizes the loss function, subject